SlideShare a Scribd company logo
1 of 23
The MPEG-21 Multimedia Framework for Integrated Management of Environments enabling Quality of Service Christian Timmerer Klagenfurt University (UNIKLU)    Faculty of Technical Sciences (TEWI) Department of Information Technology (ITEC)    Multimedia Communication (MMC) http://research.timmerer.com    http://blog.timmerer.com    mailto:christian.timmerer@itec.uni-klu.ac.at
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
UMA Challenge and Concept 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Rich Multimedia  Content Diverse Set of Terminal Devices,  User Preferences Heterogeneous Networks,  Dynamic Conditions Universal Multimedia Access  :=  any content  should be available  anytime ,  anywhere Universal Multimedia Experiences  :=  User  should have  worthwhile ,  informative experience  anytime, anywhere  Content Adaptation for Universal Access Growing mismatch  Need for  scalable content , descriptions, negotiation, adaptation
Introduction to MPEG-21 – Vision ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
MPEG-21: Basic Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
MPEG-21: Basic Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
MPEG-21 Organisation – Parts 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Vision, Declaration, and Identification Digital Rights Management Adaptation Processing Systems Misc Pt. 4:  IPMP Components Pt. 5:  R ights E xpression  L ang Pt. 6:  R ights D ata  D ictionary Pt. 7:  D igital I tem  A daptation Pt. 10:  D igital I tem  P rocessing Amd.1 : Convers. And Permissions Amd.2 : Dynamic and Distributed Adaptation Pt. 1: Vision, Technologies and Strategy Pt. 2:  D igital  I tem D eclaration Pt. 3:  D igital  I tem I dentification Pt. 9: File Format Pt. 16: Binary Format Pt. 18:  D igital I tem  S treaming Pt. 8: Reference Software Pt. 11: Persistent Association  Pt. 12: Test Bed  Pt. 14: Conform. Pt. 15: Event Reporting  Pt. 17: Fragment Idenfication Amd.1 : Add‘l C++ bindings  Amd.1 :  DII relationship types
Digital Item Declaration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria Structure Resources (e.g., MPEG-4, other/new formats) Metadata (e.g., MPEG-7, other/new formats)
DID Example 2008/07/16 Christian Timmerer, Klagenfurt University, Austria < DIDL > < Item > < Descriptor > < Statement   mimeType=&quot;text/plain&quot; > Best of Mozart </ Statement > </ Descriptor > < Descriptor > < Component >< Resource   mimeType=&quot;image/jpg&quot;  ref=&quot;cover.jpg&quot; /></ Component > </ Descriptor > < Item > < Descriptor > < Statement   mimeType=&quot;text/plain&quot; > Le nozze di Figaro KV 492, Overtüre, 4:08 </ Statement > </ Descriptor > < Component > < Descriptor > < Statement   mimeType=&quot;text/plain&quot; > Bitrate 192kbps </ Statement > </ Descriptor > < Resource   mimeType=&quot;audio/m4a&quot;  ref=&quot;track01.m4a&quot; /> </ Component > </ Item > <!-- further items ... --> </ Item > </ DIDL >
Rights Expression Language ,[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria Right Resource Principal Condition Associated with Subject to Issued to
REL Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
Digital Item Adaptation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
Usage Environment Description (UED) fundamental input to any adaptation engine 2008/07/16 Christian Timmerer, Klagenfurt University, Austria ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Context-related metadata  describes the  usage environment in terms of terminal capabilities ;  network characteristics ;  user characteristics ;  natural environment characteristics ; e.g.,  codec capabilities = mp2, ML@MP ;  available bandwidth=1500kbps ;  visually impaired ;  high-level ambient noise ;
AdaptationQoS and Universal Constraints Description ,[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria
End-to-End QoS through Integrated Management of Content, Networks and Terminals 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Integrated Management of Content (Digital Items) Integrated Management of Services Content- and Context-aware Digital Item Service Management Integrated Management of Connectivity Services of Heterogeneous Networks Integrated Management of Heterogeneous Terminals 1 2 3 4 5
ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service  and Adaptation  2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service  and Adaptation  - Adaptation management  And extended functionalities : - End to end (QoS) management - Service management (SM) - Terminal Device Management (TDM) 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service  and Adaptation  Generic model  for  - Metadata management - Metadata storage MAtool implementation using  MPEG-7/-21, TV-anytime, ... 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service  and Adaptation  - Multicast management - Content caching and  CDN management 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service  and Adaptation  New entity.  More open business models 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
MPEG-21 for End-to-End QoS Management enabling UMA 2008/07/16 Christian Timmerer, Klagenfurt University, Austria DI Model/Declaration/Identification Rights Expression Basic Content Descr. Enhance with DIA AdaptationQoS/UCD according to E2E QoS Model Add’l Rights Expression, License Service-related Metadata Capabilities of Adaptation Engines Adaptation Decision-Taking Engine: exploit Content- and Context-related Metadata Signaling of Characteristics and Conditions using UED Request and configure monitoring system through Event Reporting UED: User Characteristics and Terminal Capabilities Event Reporting: req./conf. Monitoring System 1 2 3 4 5
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2008/07/16 Christian Timmerer, Klagenfurt University, Austria ✔ ✔ ✖
Thank you for your attention ... questions, comments, etc. are welcome … >> Visit the IT campus Carinthia << >> http://www.it-campus.at  << Ass.-Prof. Dipl.-Ing. Dr. Christian Timmerer Klagenfurt University, Department of Information Technology (ITEC) Universitätsstrasse 65-67, A-9020 Klagenfurt, AUSTRIA [email_address] http://research.timmerer.com/ Tel: +43/463/2700 3621 Fax: +43/463/2700 3699 © Copyright: Christian Timmerer 2008/07/16 Christian Timmerer, Klagenfurt University, Austria

More Related Content

Viewers also liked

Content packaging and MPEG-21 DID
Content packaging and MPEG-21 DIDContent packaging and MPEG-21 DID
Content packaging and MPEG-21 DIDAndy Powell
 
Multimedia seminar ppt
Multimedia seminar pptMultimedia seminar ppt
Multimedia seminar pptAnandi Kumari
 
MULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKSMULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKSKathirvel Ayyaswamy
 
Multimedia communications by fred halsal we learnfree
Multimedia communications by fred halsal we learnfreeMultimedia communications by fred halsal we learnfree
Multimedia communications by fred halsal we learnfreeAli Azarnia
 

Viewers also liked (7)

Content packaging and MPEG-21 DID
Content packaging and MPEG-21 DIDContent packaging and MPEG-21 DID
Content packaging and MPEG-21 DID
 
Mpeg 7
Mpeg 7Mpeg 7
Mpeg 7
 
Mpeg7
Mpeg7Mpeg7
Mpeg7
 
Unit 1
Unit 1Unit 1
Unit 1
 
Multimedia seminar ppt
Multimedia seminar pptMultimedia seminar ppt
Multimedia seminar ppt
 
MULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKSMULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKS
 
Multimedia communications by fred halsal we learnfree
Multimedia communications by fred halsal we learnfreeMultimedia communications by fred halsal we learnfree
Multimedia communications by fred halsal we learnfree
 

Similar to The MPEG-21 Multimedia Framework for Integrated Management of Environments enabling Quality of Service

Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesAlpen-Adria-Universität
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesAlpen-Adria-Universität
 
MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...
MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...
MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...Alpen-Adria-Universität
 
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-driven Dynamic HTTP Adaptive Streaming Player EnvironmentPolicy-driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-driven Dynamic HTTP Adaptive Streaming Player EnvironmentMinh Nguyen
 
Jayson lorenzen iptc_rnews_overview
Jayson lorenzen iptc_rnews_overviewJayson lorenzen iptc_rnews_overview
Jayson lorenzen iptc_rnews_overviewJayson Lorenzen
 
The Long Road To Profitable Digital Media Innovation - Digibiz'09
The Long Road To Profitable Digital Media Innovation  - Digibiz'09The Long Road To Profitable Digital Media Innovation  - Digibiz'09
The Long Road To Profitable Digital Media Innovation - Digibiz'09Digibiz'09 Conference
 
IRJET- Enhanced Cloud Data Security using Combined Encryption and Steganography
IRJET- Enhanced Cloud Data Security using Combined Encryption and SteganographyIRJET- Enhanced Cloud Data Security using Combined Encryption and Steganography
IRJET- Enhanced Cloud Data Security using Combined Encryption and SteganographyIRJET Journal
 
Automatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPCAutomatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPCFacultad de Informática UCM
 
Electroniquev2
Electroniquev2Electroniquev2
Electroniquev2Mehdi zizi
 
Big data in Private Banking
Big data in Private BankingBig data in Private Banking
Big data in Private BankingJérôme Kehrli
 
Data Democratization at Nubank
 Data Democratization at Nubank Data Democratization at Nubank
Data Democratization at NubankDatabricks
 
Compression technologies
Compression technologiesCompression technologies
Compression technologiesKetan Hulaji
 
CAR BLACK BOX SYSTEM
CAR BLACK BOX SYSTEMCAR BLACK BOX SYSTEM
CAR BLACK BOX SYSTEMIRJET Journal
 
IIOT on Variable Frequency Drives
IIOT on Variable Frequency DrivesIIOT on Variable Frequency Drives
IIOT on Variable Frequency Drivesmuthamizh adhithan
 
digital-watermarking-and-steganography syllabus . . . . . . .
digital-watermarking-and-steganography syllabus . . . . . . . digital-watermarking-and-steganography syllabus . . . . . . .
digital-watermarking-and-steganography syllabus . . . . . . . Praneeth Kumar
 
Iaetsd implementation of chaotic algorithm for secure image
Iaetsd implementation of chaotic algorithm for secure imageIaetsd implementation of chaotic algorithm for secure image
Iaetsd implementation of chaotic algorithm for secure imageIaetsd Iaetsd
 
CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...
CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...
CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...Kim Hammar
 
Conceptual design of edge adaptive steganography scheme based on advanced lsb...
Conceptual design of edge adaptive steganography scheme based on advanced lsb...Conceptual design of edge adaptive steganography scheme based on advanced lsb...
Conceptual design of edge adaptive steganography scheme based on advanced lsb...IAEME Publication
 
Fully Interoperable Streaming of Media Resources in Heterogeneous Environments
Fully Interoperable Streaming of Media Resources in Heterogeneous EnvironmentsFully Interoperable Streaming of Media Resources in Heterogeneous Environments
Fully Interoperable Streaming of Media Resources in Heterogeneous EnvironmentsAlpen-Adria-Universität
 

Similar to The MPEG-21 Multimedia Framework for Integrated Management of Environments enabling Quality of Service (20)

Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG Activities
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG Activities
 
MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...
MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...
MPEG-21-based Cross-Layer Optimization Techniques for enabling Quality of Exp...
 
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-driven Dynamic HTTP Adaptive Streaming Player EnvironmentPolicy-driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
 
Jayson lorenzen iptc_rnews_overview
Jayson lorenzen iptc_rnews_overviewJayson lorenzen iptc_rnews_overview
Jayson lorenzen iptc_rnews_overview
 
The Long Road To Profitable Digital Media Innovation - Digibiz'09
The Long Road To Profitable Digital Media Innovation  - Digibiz'09The Long Road To Profitable Digital Media Innovation  - Digibiz'09
The Long Road To Profitable Digital Media Innovation - Digibiz'09
 
IRJET- Enhanced Cloud Data Security using Combined Encryption and Steganography
IRJET- Enhanced Cloud Data Security using Combined Encryption and SteganographyIRJET- Enhanced Cloud Data Security using Combined Encryption and Steganography
IRJET- Enhanced Cloud Data Security using Combined Encryption and Steganography
 
Automatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPCAutomatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPC
 
Prashant Resume
Prashant ResumePrashant Resume
Prashant Resume
 
Electroniquev2
Electroniquev2Electroniquev2
Electroniquev2
 
Big data in Private Banking
Big data in Private BankingBig data in Private Banking
Big data in Private Banking
 
Data Democratization at Nubank
 Data Democratization at Nubank Data Democratization at Nubank
Data Democratization at Nubank
 
Compression technologies
Compression technologiesCompression technologies
Compression technologies
 
CAR BLACK BOX SYSTEM
CAR BLACK BOX SYSTEMCAR BLACK BOX SYSTEM
CAR BLACK BOX SYSTEM
 
IIOT on Variable Frequency Drives
IIOT on Variable Frequency DrivesIIOT on Variable Frequency Drives
IIOT on Variable Frequency Drives
 
digital-watermarking-and-steganography syllabus . . . . . . .
digital-watermarking-and-steganography syllabus . . . . . . . digital-watermarking-and-steganography syllabus . . . . . . .
digital-watermarking-and-steganography syllabus . . . . . . .
 
Iaetsd implementation of chaotic algorithm for secure image
Iaetsd implementation of chaotic algorithm for secure imageIaetsd implementation of chaotic algorithm for secure image
Iaetsd implementation of chaotic algorithm for secure image
 
CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...
CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...
CNSM 2022 - An Online Framework for Adapting Security Policies in Dynamic IT ...
 
Conceptual design of edge adaptive steganography scheme based on advanced lsb...
Conceptual design of edge adaptive steganography scheme based on advanced lsb...Conceptual design of edge adaptive steganography scheme based on advanced lsb...
Conceptual design of edge adaptive steganography scheme based on advanced lsb...
 
Fully Interoperable Streaming of Media Resources in Heterogeneous Environments
Fully Interoperable Streaming of Media Resources in Heterogeneous EnvironmentsFully Interoperable Streaming of Media Resources in Heterogeneous Environments
Fully Interoperable Streaming of Media Resources in Heterogeneous Environments
 

More from Alpen-Adria-Universität

Content-adaptive Video Coding for HTTP Adaptive Streaming
Content-adaptive Video Coding for HTTP Adaptive StreamingContent-adaptive Video Coding for HTTP Adaptive Streaming
Content-adaptive Video Coding for HTTP Adaptive StreamingAlpen-Adria-Universität
 
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...Alpen-Adria-Universität
 
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...
Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...Alpen-Adria-Universität
 
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...Alpen-Adria-Universität
 
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...Alpen-Adria-Universität
 
Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...Alpen-Adria-Universität
 
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamEvaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamAlpen-Adria-Universität
 
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...Alpen-Adria-Universität
 
Multi-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video StreamingMulti-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video StreamingAlpen-Adria-Universität
 
Policy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player EnvironmentPolicy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player EnvironmentAlpen-Adria-Universität
 
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...Alpen-Adria-Universität
 
Energy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and StrategiesEnergy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and StrategiesAlpen-Adria-Universität
 
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...Alpen-Adria-Universität
 
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine LearningVideo Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine LearningAlpen-Adria-Universität
 
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...
Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...Alpen-Adria-Universität
 
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming ApplicationsSARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming ApplicationsAlpen-Adria-Universität
 
Immersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to HolographyImmersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to HolographyAlpen-Adria-Universität
 
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...Alpen-Adria-Universität
 
HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)Alpen-Adria-Universität
 
How to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and SolutionsHow to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and SolutionsAlpen-Adria-Universität
 

More from Alpen-Adria-Universität (20)

Content-adaptive Video Coding for HTTP Adaptive Streaming
Content-adaptive Video Coding for HTTP Adaptive StreamingContent-adaptive Video Coding for HTTP Adaptive Streaming
Content-adaptive Video Coding for HTTP Adaptive Streaming
 
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
 
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...
Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...
 
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...
 
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
 
Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...
 
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamEvaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream
 
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
 
Multi-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video StreamingMulti-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video Streaming
 
Policy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player EnvironmentPolicy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player Environment
 
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
 
Energy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and StrategiesEnergy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and Strategies
 
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
 
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine LearningVideo Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
 
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...
Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...
 
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming ApplicationsSARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
 
Immersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to HolographyImmersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to Holography
 
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
 
HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)
 
How to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and SolutionsHow to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
 

Recently uploaded

How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 

Recently uploaded (20)

How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 

The MPEG-21 Multimedia Framework for Integrated Management of Environments enabling Quality of Service

  • 1. The MPEG-21 Multimedia Framework for Integrated Management of Environments enabling Quality of Service Christian Timmerer Klagenfurt University (UNIKLU)  Faculty of Technical Sciences (TEWI) Department of Information Technology (ITEC)  Multimedia Communication (MMC) http://research.timmerer.com  http://blog.timmerer.com  mailto:christian.timmerer@itec.uni-klu.ac.at
  • 2.
  • 3. UMA Challenge and Concept 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Rich Multimedia Content Diverse Set of Terminal Devices, User Preferences Heterogeneous Networks, Dynamic Conditions Universal Multimedia Access := any content should be available anytime , anywhere Universal Multimedia Experiences := User should have worthwhile , informative experience anytime, anywhere Content Adaptation for Universal Access Growing mismatch  Need for scalable content , descriptions, negotiation, adaptation
  • 4.
  • 5.
  • 6.
  • 7. MPEG-21 Organisation – Parts 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Vision, Declaration, and Identification Digital Rights Management Adaptation Processing Systems Misc Pt. 4: IPMP Components Pt. 5: R ights E xpression L ang Pt. 6: R ights D ata D ictionary Pt. 7: D igital I tem A daptation Pt. 10: D igital I tem P rocessing Amd.1 : Convers. And Permissions Amd.2 : Dynamic and Distributed Adaptation Pt. 1: Vision, Technologies and Strategy Pt. 2: D igital I tem D eclaration Pt. 3: D igital I tem I dentification Pt. 9: File Format Pt. 16: Binary Format Pt. 18: D igital I tem S treaming Pt. 8: Reference Software Pt. 11: Persistent Association Pt. 12: Test Bed Pt. 14: Conform. Pt. 15: Event Reporting Pt. 17: Fragment Idenfication Amd.1 : Add‘l C++ bindings Amd.1 : DII relationship types
  • 8.
  • 9. DID Example 2008/07/16 Christian Timmerer, Klagenfurt University, Austria < DIDL > < Item > < Descriptor > < Statement mimeType=&quot;text/plain&quot; > Best of Mozart </ Statement > </ Descriptor > < Descriptor > < Component >< Resource mimeType=&quot;image/jpg&quot; ref=&quot;cover.jpg&quot; /></ Component > </ Descriptor > < Item > < Descriptor > < Statement mimeType=&quot;text/plain&quot; > Le nozze di Figaro KV 492, Overtüre, 4:08 </ Statement > </ Descriptor > < Component > < Descriptor > < Statement mimeType=&quot;text/plain&quot; > Bitrate 192kbps </ Statement > </ Descriptor > < Resource mimeType=&quot;audio/m4a&quot; ref=&quot;track01.m4a&quot; /> </ Component > </ Item > <!-- further items ... --> </ Item > </ DIDL >
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. End-to-End QoS through Integrated Management of Content, Networks and Terminals 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Integrated Management of Content (Digital Items) Integrated Management of Services Content- and Context-aware Digital Item Service Management Integrated Management of Connectivity Services of Heterogeneous Networks Integrated Management of Heterogeneous Terminals 1 2 3 4 5
  • 16. ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service and Adaptation 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
  • 17. ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service and Adaptation - Adaptation management And extended functionalities : - End to end (QoS) management - Service management (SM) - Terminal Device Management (TDM) 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
  • 18. ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service and Adaptation Generic model for - Metadata management - Metadata storage MAtool implementation using MPEG-7/-21, TV-anytime, ... 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
  • 19. ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service and Adaptation - Multicast management - Content caching and CDN management 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
  • 20. ENTHRONE System Architecture Metadata Management Model Metadata Management and Search (MATool) Enhanced Features Quality of Service and Adaptation New entity. More open business models 2008/07/16 Christian Timmerer, Klagenfurt University, Austria Adapters Delivery layer ENTHRONE Integrated Management Supervisor EIMS Supervision layer Interfaces Business Actors Business level (simplified)
  • 21. MPEG-21 for End-to-End QoS Management enabling UMA 2008/07/16 Christian Timmerer, Klagenfurt University, Austria DI Model/Declaration/Identification Rights Expression Basic Content Descr. Enhance with DIA AdaptationQoS/UCD according to E2E QoS Model Add’l Rights Expression, License Service-related Metadata Capabilities of Adaptation Engines Adaptation Decision-Taking Engine: exploit Content- and Context-related Metadata Signaling of Characteristics and Conditions using UED Request and configure monitoring system through Event Reporting UED: User Characteristics and Terminal Capabilities Event Reporting: req./conf. Monitoring System 1 2 3 4 5
  • 22.
  • 23. Thank you for your attention ... questions, comments, etc. are welcome … >> Visit the IT campus Carinthia << >> http://www.it-campus.at << Ass.-Prof. Dipl.-Ing. Dr. Christian Timmerer Klagenfurt University, Department of Information Technology (ITEC) Universitätsstrasse 65-67, A-9020 Klagenfurt, AUSTRIA [email_address] http://research.timmerer.com/ Tel: +43/463/2700 3621 Fax: +43/463/2700 3699 © Copyright: Christian Timmerer 2008/07/16 Christian Timmerer, Klagenfurt University, Austria